Results 171 to 180 of about 32,638,059 (250)
Quantum linear solvers for scientific computing: a comparison of VQLS, HHL and quantum annealing on time-fractional diffusion problems. [PDF]
Sci RepShayegan AHS.
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A Variable Reduction Approach for Microbeams on Elastic Foundation. [PDF]
Sensors (Basel)Previati G, Stabile P, Ballo F.
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A Review of Modified/Consistent Couple Stress and Strain Gradient Theories for Analyzing Static and Dynamic Behaviors of Functionally Graded Microscale Plates and Shells. [PDF]
Materials (Basel)Wu CP, Chang TY.
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Efficient numerical analysis of nonlinear liquid dispersion pattern drops using Taylor wavelet collocation. [PDF]
Sci RepEl-Hady MA, El-Gamel M, Kashwaa Y.
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International Journal for Numerical Methods in Engineering, 1994
AbstractAn element‐free Galerkin method which is applicable to arbitrary shapes but requires only nodal data is applied to elasticity and heat conduction problems. In this method, moving least‐squares interpolants are used to construct the trial and test functions for the variational principle (weak form); the dependent variable and its gradient are ...
Belytschko, T., Lu, Y. Y., Gu, L.
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AbstractAn element‐free Galerkin method which is applicable to arbitrary shapes but requires only nodal data is applied to elasticity and heat conduction problems. In this method, moving least‐squares interpolants are used to construct the trial and test functions for the variational principle (weak form); the dependent variable and its gradient are ...
Belytschko, T., Lu, Y. Y., Gu, L.
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The Runge-Kutta Discontinuous Galerkin Method for Conservation Laws V
Journal of Computational Physics, 1998Bernardo Cockburn, Chi-Wang Shu
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2018
The Galerkin method is a very general framework of methods which is very robust. The idea is as follows. Starting from a variational problem set in an infinite dimensional space, a sequence of finite dimensional approximation spaces is defined. The corresponding finite dimensional approximated problems are then solved, which is usually easier to do ...
H. Dret
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The Galerkin method is a very general framework of methods which is very robust. The idea is as follows. Starting from a variational problem set in an infinite dimensional space, a sequence of finite dimensional approximation spaces is defined. The corresponding finite dimensional approximated problems are then solved, which is usually easier to do ...
H. Dret
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International Journal for Numerical Methods in Engineering, 2018
H. Cheng, M. Peng, Yumin Cheng
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H. Cheng, M. Peng, Yumin Cheng
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SIAM Journal on Numerical Analysis, 2018
R. Lin, X. Ye, Shangyou Zhang, P. Zhu
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R. Lin, X. Ye, Shangyou Zhang, P. Zhu
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